Quantitative Analytics Analyst & Associate - Expert Off Cycle Intern Programme – 2023

The team that delivers world-class solutions

Our Quantitative Analytics team is a global organisation of highly specialised modellers and developers responsible for researching, innovating, developing, testing, implementing, and supporting all quantitative models used for valuation and risk management across all asset classes. The ability to articulate your ideas will be crucial as you work closely with business partners to develop models and tools. Joining a group that partners with traders and stakeholders across the bank, you’ll gain the widest exposure to a variety of modelling techniques and instruments to help drive business strategy. 

The chance to make a real impact

As an intern in the Quantitative Analytics team, you’ll gain valuable exposure to real-world problems in our dynamic and invigorating environment. During your internship, you will have the chance to work on cutting-edge quantitative and technology problems, which include:

• apply quantitative techniques to solve real-world business problems
• research, develop and implement new models and solutions
• improve our computing or data infrastructure.

A place where you can thrive

At Barclays, you’ll be surrounded by experts in the industry, who will help you achieve your goals and ambitions. Our collaborative, supportive environment gives you the chance to build solid relationships with senior leaders and peers alike. During the programme, you’ll also benefit from in-depth, comprehensive training.

What’s more, this could be the beginning of an exciting and rewarding career. We offer full-time employment opportunities to those interns demonstrating excellent work ethics and technical competence upon the completion of their internship.

To be considered for this programme, you must:

• be an undergraduate (for our Analyst role) or postgraduate (for our Associate role) with an anticipated graduation date between December 2023 – June 2024. 
• be working towards an undergraduate or postgraduate degree in a technical discipline such as Physics, Mathematics, Operations Research, Quantitative Finance, Economics, Statistics, Stochastic Calculus, Computer Science, or other STEM subjects. 

Ideally, you would also have:

• a GPA of 3.2 or above
• strong analytical, mathematical, statistical and/or programming skills
• clear communication skills and track record of collaborative team work
• fluent written and spoken English

It is the policy of Barclays to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, creed, religion, national origin, alienage or citizenship status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, protected veteran status, genetic information, or any other basis protected by law.